Guangyuan Shi

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 139 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Computer Vision and Pattern Recognition — 36 citations into it
• Meta & Continual Learning — 28 citations into it
• Representation & Self-Supervised Learning — 17 citations into it

Whom Guangyuan Shi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yaoyao Liu
5. Yoshua Bengio
6. Diederik P. Kingma
7. Yann LeCun
8. Ross B. Girshick
9. Oriol Vinyals
10. Ilya Sutskever

Who trusts Guangyuan Shi overall

1. Liyuan Wang
2. Da-Wei Zhou
3. Keon-Hee Park
4. Do-Yeon Kim
5. Haeyong Kang
6. Huiping Zhuang
7. Song Tian
8. Yibo Yang
9. Xingxing Zhang
10. Qiwen Wang

Papers from Guangyuan Shi's perspective

Ordered by how strongly the researchers Guangyuan Shi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima (2021) — 219 citations